Hsin-Ta Wu
Impact in
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- Cancer Genomics and Diagnostics
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- PARP inhibition in cancer therapy
- Cancer Cells and Metastasis
Papers in
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- Cancer Genomics and Diagnostics 13
- Oncology 9
- Cancer Cells and Metastasis 5
- Colorectal Cancer Treatments and Studies 3
- PARP inhibition in cancer therapy 1
- Co-authors
- Himanshu Sethi (11 shared papers)Mustafa Balcioglu (5 shared papers)Alexey Aleshin (11 shared papers)Kirsten M. Timms (1 shared paper)Alex McMillan (1 shared paper)Ekaterina Kalashnikova (7 shared papers)Joshua J. Gruber (1 shared paper)Vasily N. Aushev (2 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Cancer Research (5 papers)The Oncologist (1 paper)Nature Cancer (1 paper)JCO Precision Oncology (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Hsin-Ta Wu
16 papers receiving 195 citations
Peers
Comparison fields: 5 of 31
- Cancer Research 104
- Oncology 96
- Pathology and Forensic Medicine 27
- Pulmonary and Respiratory Medicine 47
- Genetics 24
Countries citing papers authored by Hsin-Ta Wu
This map shows the geographic impact of Hsin-Ta Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hsin-Ta Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Ta Wu more than expected).
Fields of papers citing papers by Hsin-Ta Wu
This network shows the impact of papers produced by Hsin-Ta Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hsin-Ta Wu. The network helps show where Hsin-Ta Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin-Ta Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 73 | |
| 2 | 2022 | 56 | |
| 3 | 2024 | 14 | |
| 4 | 2022 | 14 | |
| 5 | 2019 | 7 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2004 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2021 | 1 |
About Hsin-Ta Wu
Hsin-Ta Wu is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Molecular Biology and Surgery, having authored 16 papers that have together received 197 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (13 papers), Genetic factors in colorectal cancer (6 papers), Cancer Cells and Metastasis (5 papers), Colorectal Cancer Treatments and Studies (3 papers), Molecular Biology Techniques and Applications (2 papers), PARP inhibition in cancer therapy (1 paper), DNA Repair Mechanisms (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Cancer Research (104 citations), Oncology (96 citations), Pathology and Forensic Medicine (27 citations), Pulmonary and Respiratory Medicine (47 citations) and Genetics (24 citations). Hsin-Ta Wu has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Himanshu Sethi, Mustafa Balcioglu, Alexey Aleshin, Kirsten M. Timms, Alex McMillan, Ekaterina Kalashnikova, Joshua J. Gruber, Vasily N. Aushev, James M. Ford and Melinda L. Telli. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, The Oncologist, Nature Cancer and JCO Precision Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.